How can we prepare the work-force of tomorrow for the increasing writing demands of the Information Age? Anne Beaufort provides a multidimensional response to this critical question. Offering a vital view of the developmental process entailed in attaining writing fluency in school and beyond, and the conditions that contribute to acquiring such expertise, Beaufort illuminates what it takes to foster the versatility writers must possess in the workplace of the twenty-first century.

Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset. This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented. This book provides a hands-on and holistic guide for anyone looking to build NLP solutions, from students of Computer Science to those involved in large-scale industrial projects.

Buy a new version of this textbook and receive access to the Connected eBook on Casebook Connect, including lifetime access to the online ebook with highlight, annotation, and search capabilities. Access also includes an outline tool and other helpful resources. Connected eBooks provide what you need most to be successful in your law school classes. Like previous editions of this landmark title, the Third Edition of Drafting Contracts: How and Why Lawyers Do What They Do, emphasizes the importance of accurately memorializing the business deal while also advancing your client's interests. New co-author Monica Llorente builds on the foundation and insights of Tina Stark's landmark text with detailed introductions to the six building blocks for drafting contracts that pave the way for understanding any type of business contract. Reader-friendly text illustrated by examples and sample provisions demonstrates the mechanics, strategy, and precision of real-world contract drafting. In line with Tina Stark's legacy of building a bridge between law school and practice, co-author Monica Llorente solicited significant input from law professors, practitioners, and law students in the course of her work on the Third Edition. NEW TO THE THIRD EDITION Covid's effect on contract drafting, including force majeure provisions Expanded and updated coverage of use of qualifiers, standards, and risk allocation Expanded and updated coverage of endgame mechanisms, such as limitations on liability, specific indemnity tools, and provisions All-new coverage of Professional Responsibility Part summary chapters that provide a capsule overview of all topics in those chapters Online materials and updates on using AI and technology in drafting, available on CC Resources page and Aspen website Professors and students will benefit from Using drafting concepts as the building-blocks for understanding and writing business contracts Clear descriptions of the purpose and format of every part of a contract Guidance for developing drafting skills Hands-on exercises for practice and self-assessment Best-practice recommendations for drafting clearly and unambiguously Integrated coverage of strategy, risk management, ethical considerations Online materials and updates for using AI and Technology in contract drafting

This book describes a method for building real-world problem solving systems such as medical diagnostic procedures and intelligent controllers for autonomous underwater vehicles (AUVs) and other robots. The approach taken is different from other work reported in the artificial intelligence literature in several respects: * It defines schema-based reasoning, in which schemas -- explicitly declared packets of related knowledge -- are used to control not only the reasoner's planning, but also all other facets of its behavior. * It is a kind of reactive reasoning that the author calls adaptive problem solving -- the reasoner maintains commitments to future goals but is able to change its focus of attention as the problem-solving situation requires. * It is a context-sensitive reasoning method. Every decision it makes relies on the use of contextual knowledge to be appropriate for the current problem-solving situation. Furthermore, context is represented explicitly; by always keeping a current representation of the context in mind, the reasoner's behavior is automatically sensitive to the context with very little work needed per decision. * Schema-based reasoning -- a generalization of case-based reasoning -- extends the usual idea of case-based reasoning to encompass all aspects of the reasoner's behavior, and it extends it to make use of generalized "cases" (i.e., schemas) rather than particular cases, thus saving effort needed to transfer knowledge from an old case to a new situation. Though the work originated in the domain of medical diagnostic problem solving, treating diagnosis as a planning task, it is even more appropriate for controlling autonomous systems. The author is currently extending the approach by creating a robust controller for long-range autonomous underwater vehicles that will be used to carry out ocean science missions.

In today's fast-paced startup ecosystem, the race to secure investment is more competitive than ever. Navigating through the intricate landscape of venture capital, angel investment, crowdfunding, and more, is a daunting task. But what if you had a secret weapon that could streamline your journey and elevate your proposals, pitches, and communications to unprecedented levels of efficacy and engagement? Introducing "50 Ways for a Startup to Raise Investment Using ChatGPT," the groundbreaking guide that unlocks the untapped potential of AI-driven tools in startup fundraising efforts. The Author David Murray-Hundley "The Grumpy Entrepreneur" wants you to use this as a guide and become the hero of your startup. Utilizing GPT-4, the most advanced conversational AI to date, this book bridges the gap between traditional fundraising techniques and cutting-edge technological solutions. It's not just about using technology; it's about harnessing its power strategically and efficiently to resonate with investors, stakeholders, and audiences who matter. Structured into 50 comprehensive chapters, each focused on a different aspect of fundraising, this guide offers an extensive range of strategies, from "Automated Market Research Summaries" to "Crafting the Perfect Investor Presentation," from "Generating Investment Proposals" to "Writing Press Releases for Funding Announcements." The book incorporates actual case studies, concrete examples, and actionable tips that make each strategy immediately applicable. What's Inside: Crafting Business Plans: Learn how to use ChatGPT to create dynamic, adaptable business plans that address investor concerns and showcase your startup's value proposition. Market Research: Transform labor-intensive tasks like market research into automated processes that provide accurate and timely insights. Investor Relations: Discover how to polish your investor communications, build relationships, and keep stakeholders engaged using personalized outreach tactics. Legal Documentation: Gain an understanding of how to expedite the due diligence process by preparing preliminary reviews of contracts, shareholder agreements, and more. International Outreach: Expand your investor base by leveraging real-time translation features for international communication. Why This Book is a Must-Read: Comprehensive: A step-by-step guide covering every stage of the investment process, ensuring you leave no stone unturned. Practical: Filled with real-world applications, tips, and recommendations that are both practical and executable. Innovative: Be at the forefront of technological innovation by integrating AI into your investment strategy. Time-Saving: Cut down on manual tasks, reduce human error, and speed up processes, giving you more time to focus on what you do best—innovating. Adaptable: Whether you're a seasoned entrepreneur or a startup novice, the strategies outlined in this book can be tailored to suit ventures of all sizes and stages. "50 Ways for a Startup to Raise Investment Using ChatGPT" is more than just a book—it's a playbook for startup success in the digital age. Armed with this guide, you're not just participating in the investment game; you're transforming how the game is played. Embark on your startup journey with newfound confidence and a technological edge. Secure your copy today and revolutionize your approach to fundraising!